With all the standards mentioned above computational results obtained with biomodels can easily be made reproducible. Publishing the biomodels as SBML files, either as attached supplementary material or by inclusion in a database like BioModels [1]}, satisfies reproducibility of results because it makes the model immediately available for simulation with a range of software (e.g. COPASI [2]}, VCell [3]}, and many others). Then, by using the same software as the authors used originally, even reproducibility of methods is achieved. Because SBML does not prescribe the mathematical formalism, in some circumstances it can also facilitate reproducibility of inferences. For example, conclusions may have been obtained from an analysis using the linear noise approximation (e.g. [4]}), and others may reproduce the same conclusions using the Gillespie stochastic simulation algorithm [5]}. This is possible because both methods are implemented in software packages that read SBML.
